Vital jacket a wearable monitoring system with sms facility

INTERNATIONAL JOURNAL OF ELECTRONICS AND COM-
MUNICATION ENGINEERING & TECHNOLOGY (IJECET)
ISSN 0976 – 6464(Print)
ISSN 0976 – 6472(Online)
Volume 4, Issue 1, January- February (2013), pp. 161-175
IJECET
© IAEME: www.iaeme.com/ijecet.asp
Journal Impact Factor (2012): 3.5930 (Calculated by GISI)
©IAEME
www.jifactor.com

VITAL JACKET A WEARABLE MONITORING SYSTEM WITH SMS
FACILITY

Archita Agnihotri

Electronics & communication department
Email: architaagnihotri75@gmail.com

ABSTRACT

Every function in the human body has been shown to exhibit circadian rhythmici-
ty. Under controlled conditions in the laboratory, the endogenous nature of the rhythmici-
ty can be demonstrated in ambulatory conditions, environmental factors and physical ex-
ertion can obscure or enhance the expressed rhythm. Biological processes that cycle in 24
hrs. Interval are called daily rhythm is endogenously generated but still susceptible to
modulation by 24 hrs. Environmental cycle its called circadian rhythm. Many autonomic
processes of individuals exhibit circadian rhythm including body temperature, cardiovas-
cular etc. The four most commonly monitored vital signs are heart rate, blood oxygen sa-
turation, and body temperature and respiration rate. The emergence of wireless technolo-
gies and advancement in on body sensor design can enable change in the conventional
health care system, replacing it with wearable health care system, centered on the indi-
vidual wearable monitoring system can provide continuous physiological data as well as
better information regarding general health of individual. Thus such vital sign monitoring
system will reduce health care cost by disease prevention and enhance the quality of life
with vital parameter management. This paper proposed a wearable vital parameter moni-
toring jacket which measure all vital parameter like heart rate, blood oxygen saturation,
respirations rate & body temperature of the person wearing the respective jacket, collect
all the data and send to the respective physician on the assign telephone number using
GSM modem, which in form of SMS.so that preventive measure if required can be taken.

KEYWORD: vital parameter, circadian, rhythmicity, GSM modem, wireless

161

International Journal of Electronics and Communication Engineering & Technology (IJECET), ISSN
0976 – 6464(Print), ISSN 0976 – 6472(Online) Volume 4, Issue 1, January- February (2013), © IAEME

INTRODUCTION

The design of wearable monitoring vital jacket has been a growing topic of re-
search interest in last decade, due to the potential application in medicine, sports & se-
curity. The vital jacket combines textile with innovative medical diagnostic technology
.The benefits of bio- monitoring includes more freedom of movement, independence from
stationary treatment for patient who need special care, and quality data collection in high
performance sports as well as for fitness enthusiast [1]. With the increase in the size of
elderly populations, as well as the emergence of chronic diseases because of change in
lifestyle, there has been a need to monitor the health status of individual in their daily rou-
tine to prevent fatal disorder. The adoption of mobile healthcare technology is promising
to enhance quality of life for chronic diseases patient and elderly as well as healthy indi-
vidual. Further more it offers the potential to alter the current health care system by enabl-
ing out patient care and preventing unnecessary hospitalization. Designing a vital moni-
toring system for health monitoring is a very cumbersome task. There are many issue to
be addressed including designing of reliable sensors, proper collection of data through
use of reliable microcontroller, and sending the collected data in form of SMS on feed
mobile number through GSM modem to the respective physician. Mobility is both a key
benefit and constraint on the design to achieve this benefit wireless physiological sensors
must be small, low weight &low power. The paper describe the design of simple low cost
microcontroller based Heart rate through finger-tip sensor, body oxygen saturation, respi-
ration rate and body temperature parameter measuring device in build in a jacket with
LCD display and a wireless modem. Heart rate of subject is measured from finger-tip
sensors similarly blood oxygen saturation based on photoplethysmography, body temper-
ature using low cost lm35 and respiration rate using tmp100 (I2C interface) all these pa-
rameter are interface to Philips microcontroller p89v51rd2. This information is then
transmitted wirelessly to doctor, which is not in the vicinity of the patient. SIMCOM300
GSM modem is interfaced serially to microcontroller through RS232.

BACKGROUND STUDY

There are number of health issue whose treatment benefits from continuous vital
sign monitoring. Traditionally, when this approach is deemed necessary, it result in the
hospitalization of the patient, with expensive equipment and medical personnel on hand;
in some case patient may remain at home, but the use of bulky and expensive instrument
remains. Must efforts has gone into the development of small, wearable device over re-
cent years, with benefits including lower cost, greater mobility for patients and potentially
improved physiological wireless enabling these device provide greater mobility and im-
prove efficiency. A review of body sensors for health care applications, which help in
monitoring all vital parameters of a patient or an athlete wearing a jacket, was given in [2]
including design methods. There are no of demographic changes can be seen in Indian
population, they are driving the move towards the use of wireless GSM modem and vital
sign monitoring. The two most significant changes are ageing of population and rise in
obesity problem. Both of these factors increase risk of developing various conditions that
require medical intervention and the significant cost. Government have acknowledge
this fact and are seeking ways of delivering healthcare, including use of personal health

162


system and telemedicine technique in developing countries most people due to lack of
health awareness suffers from cardiovascular diseases, uneven respiration rate, falling
oxygen percentage of human body and body temperature. When the heart beat, a pressure
wave moves out along arteries at few meters per seconds. This pressure wave can be feel
at wrist but it also cause an increase in blood volume in tissue which is detected by pho-
toplethysmography When the heart rate is below 60bpm may be refer as Bradycardia,
while heart rate above 100 rpm is called Tachycardia, averaging heart rate related to age
is shown in figure [a]. Respiration rate is the no of breaths taken within a set amount of
time, typically 60 seconds. In case of respiration rate when the rate is less than the normal
is called Bradypnoea, when it’s greater than the normal is called Tachypnea, averaging
respiration rate related to age is shown in figure [b]. Body temperature depends upon the
place in which body temperature measurement is measured, the time of day and the level
of activity of person. The commonly occupied core body temperature is 37.0°celcius.
Another parameter blood oxygen saturation is the relative measure of the amount of
oxygen that is dissolved or carried in a given medium.it can be measured with an oxygen
probe. Arterial oxygenation is measure using pulse oximetry. Pulse oximetry is a simple
low cost optical technique that can be used to detect blood volume change micro-vascular
bed of tissue. Photoplethysmograph is often obtained by using a pulse oximeter, which
illuminates skin measure change in light absorption. Photoplethysmograph tool uses an
emitter-receiver pair to determine blood flow. It consists of matched infrared emitter and
photodiode, which transmit change in infrared reflectance resulting from varying blood
flow .a led, is used to transmit light through skin. Detector, which is positioned on surface
of skin, can detect reflection or transmission of waves from various depths and from
highly absorbing or weakly absorbing tissue.

WOMEN AGE
18-25 26-35 36-45 46-55 56-65
ATHLETE 54-60 54-59 54-59 54-60 54-59
EXCELLENT 61-65 60-64 60-64 61-65 60-64
GOOD 66-69 65-68 65-69 66-69 65-68
AVERAGE 74-78 73-76 74-78 70-73 74-77
BLOW AVERAGE 79-84 77-82 79-84 78-83 78-83
POOR 85+ 83+ 85+ 84+ 84+
Table [a] averaging heart rate is related to age

BIRTH TO 6 WEEKS 30-60 BREATHS PER MINUTE
6 MONTHS 25-40 BREATHS PER MINUTE
3 YEARS 20-30 BREATHS PER MINUTE
ADULTS 12-18 BREATHS PER MINUTE
Table [b] averaging respiration rate is related to age

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PREVIOUS WORK
Patient monitoring facilitates the extension of healthcare services to remote and
sparsely populated areas by avoiding the need of expensive medical premises. With
mobile technologies, physicians can access patient information in a quick, efficient
and secure way from any location. A number of larger and smaller projects have been
developed, some of them financed by the EU and NSF (such as Wise bed [4] and
WASP [5], others by individual universities or hospitals. In the early years, due to
lack of standardization and suitable platforms such wireless patient monitoring sys-
tems were only developed as part of huge, internationally funded projects. (Ubiquitous
Monitoring Environment for Wearable and Implantable Sensors) [6] Project addressed
general issues related to using wearable and implantable sensors for distributed mobile
monitoring, such as measuring arrhythmic heart disease. The system consists of five
major components, namely the Body Sensor Network (BSN) nodes, the local
processing unit, the central server, the patient database and the workstation (WS). A
number of wireless biosensors including 3-leads ECG, 2-leads ECG strip, and SpO2
sensors have been developed. To facilitate the incorporation of context information,
context sensors including accelerometers, temperature and skin conductance sensors
are also integrated to the BSN node. A compact flash BSN card is developed for
PDAs, where sensor signals can be gathered, displayed and analyzed. Apart from act-
ing as the local processor, the PDA can also serve, as the router between the BSN
node and the central server, where all sensor data collected will be transmitted through
a Wi- Fi/GPRS network for long-term storage and trend analysis. A graphical user in-
terface is developed at the workstation for retrieving the sensor data from the data-
base. Another comprehensive project, the Code Blue Project [7] is intended to design
an information plane tying together a wide range of wireless devices used in medical
settings, especially addressing large scale disaster situations and develops a range of
medical sensors integrated with Mica2, Mica Z and Telos motes running on Code
Blue software stack. Code Blue software framework provides protocols for device
discovery, publish/subscribe multi hop routing, and a query interface allowing care-
givers to request data from groups of patients. Code Blue also integrates an RF-based
localization system to track the location of patients and caregivers. Pietro Valdastri et
al. [8] used a ZigBee-ready stack in a point-to-point wireless model to measure aortic
and ventricular pressure and temperature through a sensor implanted in farm pigs. The
firmware dealing with the communication protocol was developed to validate the low
level features of the IEEE 802.15.4 standard in an implanted in vivo monitoring task.
This resulted in a lighter version of the ZigBee stack. In particular, the complete
firmware of the implantable unit required 12.5 KB, whereas 32 KB would be neces-
sary for the whole ZigBee stacks. Dagtas et al. [9] proposed a system that measures
ECG data and sends it to a local server for further processing. Digitized ECG data is
continuously transmitted to the Home- Server via the ZigBee network. Results of the
analyses at the mobile device are sent to the server and stored there for future refer-
ence. The goal is to provide a repository for more detailed analysis of the data by
medical professionals or detection algorithms. Hung-Chieh Yu and Shu-Ming Tseng
[10] proposed an IEEE 802.11 based wireless patient monitoring system. This system

164


has much higher power requirements than ZigBee based systems. H. Hong et al. [11]
proposed a point-to-point ZigBee based system that measures, stores and displays
ECG data and step count of a patient. The transmitter is located on a necklace
carried by the patient and the receiver is located onto a PDA carried by a doctor or a
nurse.Junho Park et al. [12] used a contact-type microphone and Maxstream’s Xbee
Pro wireless module to get heart sound signal and send it via a ZigBee based network
to a monitoring database. In this system, the central monitoring system polls the pa-
tient side modules to get data with a best error rate of 2.5 % and an average error rate.
The system, called (Maglietta Interattiva Computerizzata), [13] is composed of a vest,
including textile sensors for detecting ECG and respiratory activity, and a portable
electronic board for motion detection, signal preprocessing and wireless data trans-
mission to a remote monitoring station. A new concept in healthcare, aimed to provid-
ing continuous remote monitoring of user vital signs, is emerging. An innovative sys-
tem named WEALTHY [14] is presented, were smart material in fiber and yarn form
endowed with a wide range of electro physical properties (conducting, piezoresistive,
etc.) are integrated and used as basic elements to be woven or knitted in fabric form.
The simultaneous recording of vital signs allows parameters' extrapolation and inter-
signal elaboration that contribute to make alert messages and synoptic patient table.
Most of the studies mentioned above imply limited flexibility and configurability.
They are expensive to develop since they do not use off-the-shelf solutions to imple-
ment networking in a power-efficient and user-friendly way. With the proliferation
and standardization of wireless sensor devices the trend is towards simpler and much
cheaper solutions based on standardized nodes and networks. In this study, pulse oxi-
meter sensors and IEEE 802.15.4 compliant wireless modules are used to implement a
mesh network where patients’ oxygen saturation, heart beat rate and plethysmogram
data are stored and displayed on a PC that is connected to local gateway or base sta-
tion. The proposed system has the advantage of scalability and mobility over other al-
ternatives. It is fully based on e-textile and freely available hardware and allows easy
and reasonably priced setup and tailoring [9, 10,11,12]. Even though very similar in
principle to the one described in [14] our system is more robust, more cost effective
and the provided user interface is more elaborate and flexible.
PROPOSED SYSTEM
The proposed system has been divided into measurement of four important vi-
tal parameter, which is described, with the help of a block diagram [c]. Hardware de-
velopment involves design and development of sensor circuit, Philips microcontroller
circuit and MAX232 circuit. PROTEL DXP is used for simulation, schematic capture,
and printed circuit board (PCB) design. The whole program is written and assembled
using EMBEDDED C language. The program is written based on the P89v51rd2 spe-
cific instruction. When finger is placed between photo diode and Super-Bright LED at
the sensor circuit, the output is detected at pin 7 of Op Amp. Microcontroller is used
to perform the signal processing from the sensor circuit. MAX232 connects the mi-
crocontroller circuit to GSM modem via RS232 cable. An alert message will be sent
to mobile phone by modem.

165


HR sensor
Tmp100
I2c inter- 16
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1. HEART RATE MEASUREMENT

Using a high intensity type LED and PHOTODIODE sense heartbeat. The change in
volume caused by the pressure pulse is detected by illuminating the fingertip’s skin with the
light from an LED using a photodiode sensor. With each heartbeat, a surge of blood is forced
through the vascular system, expanding the capillaries in the finger, and changing the amount
of light returning to the photodiode. Very small changes in reflectivity or in transmittance
caused by the varying blood content of human tissue are almost invisible. Valid pulse mea-
surement therefore requires extensive preprocessing of the raw signal. A suitable operational
amplifier is needed to amplify the heartbeat signal, due to its very low amplitude compare to
the surrounding noise. For this project, TLO84 is chosen. A super bright LED is suggested in
the circuit as it can also perform well as light sensor.

166


Flowchart [a]

Start NO

Start timer
For 10 seconds

During 10 seconds timer

NO

If
Hardware
interrupt
generate

YES

Increment heart rate
Counter

no
If
Timer interrupts
Generated

YES

Heart rate = 6* heart rate count

Display heart rate

Stop

Flowchart [a] working of heart rate measurement

167


2. BODY OXYGEN & TEMPERATURE MEASUREMENT

Sensor head of pulse dosimeter contain two led and photo detector. One led emits in visible range and
other in the infrared. Each led is illuminated in turns. The detector may be placed to detect light transmission or
light reflection from skin. The ratio of detected light signal is directly proportional to blood oxygen level. Am-
plification and filtering can improve signal strength and SNR ratio it’s working is shown through flow chart [b]
The LM35 series are precision integrated circuit temperature sensors, whose output voltage is linearly propor-
tional to the Celsius temperature. The lm35 thus has a linear advantage over linear temperature sensor calibrated
in Kevin, as user is not required to subtract a large constant voltage from its output to obtain centigrade reading.
Therefore its used to measure body temperature is given in [a].

START

SELECT ADC CHANNEL 0 FOR TEMPERATURE MEASUREMENT

READ TEMPERATURE READING FROM ADC

DISPLAY TEMPERATURE ON ADC

STOP

START

MAKE RED LED ON FOR 1 SECOND & READ PHOTO SENSOR
OUTPUT USING ADC

MAKE RED LED OFF AND IR LED ON FOR 1 SECOND AND READ PHO-
TO SENSORS OUTPUT

CALCULATE O2% = 110 -(25* RED LED DATA/IR LED DATA)

DISPLAY 02 CONTENT

STOP

Flowchart[c], [b] working of temperature and calculation of oxygen % of body

168


START

MAKE WRITE PIN L-H TO
START
CONVERSION

IF YES
INTERRUPT
GENERATED

MAKE READ LINE LOW

READ ADC DATA LINES

MAKE READ PIN HIGH

READ DATA PIN

STOP

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3. RESPIRATION RATE MEASUREMENT

Respiration rate is measured using TMP100 temperature sensor. TMP100 are two
wires, serial output temperature sensor available in SOT23-6 packages. Requiring no exter-
nal components, the TMP100 are capable of reading temperature with a resolution of 0.0626
°c. the tmp100 features SMBUS and I2C allowing unto eight devices on one bus. The
TMP100 are specified for operation over a temperature range of -55°c to+125°c.

START

INITIALIZE TMP 100

WRITE DEVICE ID FOR READ &READ 8 BIT
TEMPERATURE VALUE

READ DEVICE ID FOR READ&READ 8
BIT TEMPERATURE VALUE

RETURN TEMPERATURE VALUE

Stop

FLOWCHART [d] working of respiration rate

170


START

START TIMER FOR 10 SECONDS

READ TEMPERATURE FROM TMP100

CALCULATE DIFFERENCE = EXPIRATION TEM-
PERATURE- INSPIRATION TEMPERATURE

IF
DIFFERENCE>0.5^C

INCREMENT COUNTER

AFTER 10 SECONDS COMPLETION CALCU-
LATE
RR=COUNT*6

DISPLAY RESPIRATION RATE ON
LCD

STOP

4. PHILIPS MICROCONTROLLER:

When the heart beat signals, blood oxygen %, body temperature, and the rate at which
temperature during inhale and exhale exhibiting the respiration rate is detected all the input is
processed & analyze d .the input value is collected and displayed on LCD. MAX232 will in-
terface microcontroller with RS232 interfacing between Philips microcontroller and GSM
modem is established. All the collected data is send to feed mobile number of respective
physician so that it can take the preventive measures if necessary.

171


5. GSM MODEM

In this project SIMCOM300 GSM modem is used. GSM modem can be external de-
vices. An external GSM modem is connected to device through serial cable like GSM mobile
phones, a GSM modem requires SIM CARD from wireless carrier. In order to operate GSM
modem which support a common set of standard AT commands. With AT commands reading
& sending message can be sending without any doubt. The number of message can be
processed by GSM modem per minute is very low which only 6 to 10 SMS per minute.

Figure 1.GSM modem

Figure 2. sms of vital parameters

RESULTS

Figure 3. Proposed system

172


Figure 4. Adult Heartbeat Sound

CONCLUSION

In this paper, the evolution of wearable systems for chronic disease management has
been discussed, with examples drawn from the literature. An evaluation of current sensing
technologies has been provided for the major physiological parameters (the vital signs), as
well as a review of on-body communication from an electromagnetic perspective. Current
sensors technology for vital-sign monitoring is promising to alter the traditional chronic mon-
itoring routine. However, designing non-invasive body-worn sensors is very challenging, of-
ten requiring a broad understanding of the nature of the disease and its effect on physiological
parameters. Although there are sensors available off-the-shelf for cardiac and respiration rate
monitoring, there is still a need for improvement to achieve continuous and truly non-
invasive monitoring of these parameters. The main constraints for sensor design are:
• Low power requirements;
• Reliability;
• Security; and
• Conformal design.
In order to achieve unobtrusive monitoring, implementation of wireless modules is vital. In-
tegration of wireless modules to on-body sensors not only provides mobility for the patient,
but also has the potential to change the conventional healthcare system with real-time feed-
back support. The limitations for wireless modules are low power requirements, reliable data
transmission, compatibility with the sensor and conformal antenna design. Although wireless
protocols are available for on-body communication, there is still a need for development, in
order to ease the existing constraints. Although the design and implementation of on-body
monitoring systems presents a challenging task with several constraints, the benefits of em-
ploying multi-parameter monitoring systems for the prevention, prediction and management
of diseases are myriad. On-body monitoring systems with multiple sensors are not only capa-
ble of providing an extensive database of the patient’s medical history: the simultaneous
usage of multi-parameter monitoring sensors can also verify or correct the collected data,
adding redundancy into a potentially safety-critical system; or the additional information can
place a particular event detected into context. For example, the previously mentioned blood
oxygen saturation monitoring system can be used in combination with heart rate monitoring
device for acquired data verification purposes: if there is a failure in the electronic circuitry or
software of the cardiac-activity monitoring system, a critical situation can be triggered by the
blood oxygen saturation monitoring device. On the other hand, there may be alternative in-

173


terpretations of certain symptoms (that is, there may be more than one cause) that could be
more easily resolved given more information; for instance, a (sudden) drop in blood oxygen
level levels would be of more concern if the patient had been relatively inactive, compared to
if the system had detected an increase in physical activity. Thus, multi-parameter monitoring
systems will be more reliable and useful, compared to single-parameter monitoring devices.
Finally, over recent years our group has contributed to the literature on this topic, with nu-
merous publications on the characterization of on-body channels, the investigation of the ef-
fect of the human body on antenna performance, as well as the establishment of a communi-
cation link between sensors and body-worn units. Our goal is to utilize the accumulated
knowledge within the group on on-body propagation to design multi-parameter body-worn
units. To this end, some of the current research activities focus on reliable transmission of
vital signals.

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BIOGRAPHY

ARCHITA AGNIHOTRI received the B.E. degree in Electronics& communication Engi-
neering from the University of R.G.P.V, Bhopal, M.P, in 2010, Pursuing the M.E. degree in
Embedded system & VLSI design Engineering from the University of R.G.P.V, Bhopal,
(M.P)

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